Accountability means making sure someone is responsible for the actions and outcomes of AI systems. It’s about being ready to fix mistakes and improve the system when needed.
Example - Self-driving vehicles: For AI-driven cars, if there’s an accident, figuring out if the car's programming, the manufacturer, or something else is at fault is key to accountability.
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